CN115005653A - Drinking water prompting method, water cup and intelligent equipment - Google Patents
Drinking water prompting method, water cup and intelligent equipment Download PDFInfo
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Abstract
The invention discloses a drinking water prompting method, a water cup and intelligent equipment. The drinking water prompting method comprises the following steps: s1: setting drinking prompting conditions; s2, calculating the water drinking amount and the water drinking frequency of the user; and S3, sending drinking prompt information when the drinking prompt conditions are met. The technical scheme of this application can carry out the precision measurement and continuously revise individual daily water intake, utilizes smart machine to remind children to form good drinking water habit, has promoted the enlightenment education to children again when helping children's healthy growth.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to a drinking water prompting method, a water cup and intelligent equipment.
Background
The drinking water plays a vital role in the running of physiological function metabolism of the human body and the transportation and transformation of food in the gastrointestinal system into human body energy and the excretion of various metabolites, and in view of the balance of the human body, the drinking water is too much and is inevitably required to be excreted, and various fine and micro nutrient substances and energy of the human body can be taken away. Too little drinking water can also cause unsmooth blood and qi circulation, and is difficult to excrete various metabolites, thus increasing the burden of some organs, for example, people who drink water insufficiently for a long time are easy to cause lithiasis.
To children, children's physiology is constantly changing development and growth, and children are vigorous in addition, and the amount of exercise can be bigger, nevertheless to the custom of life and the water habit of self, but lack sufficient self-discipline and autonomic consciousness, consequently necessary according to children's physiology development law and characteristics, provide one set of intelligent solution and can remind children to supply moisture in good time.
In the prior art, the patent name is 'an intelligent cup for early education of children' (with the application number of CN201620833247.6), the intelligent cup attracts children only through the special appearance of the cup body, does not have early education contents of further knowledge level, and can not interact with children abundantly, so that real intelligence can not be obtained. Meanwhile, the drinking amount and the like of the children are not measured and analyzed, thereby promoting the healthy growth of the children.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a drinking water prompting method, which comprises the following steps:
s1: setting drinking prompting conditions;
s2, calculating the water drinking amount and the water drinking frequency of the user;
and S3, sending drinking prompt information when the drinking prompt conditions are met.
Further, in step S2, calculating the drinking water amount of the user includes:
s20, determining the direction of the water cup according to the static 3-axis data of the accelerometer;
s21, continuously acquiring user action data by the accelerometer;
s22, calculating the axial moving mode of the water cup according to the collected continuous user action data;
s23, judging whether the tilting motion of the water cup is a water drinking motion, if so, calculating the water drinking amount and counting the water drinking amount into the statistical record of the water drinking amount of the user;
s24, calculating the water intake: calculating the water intake of each time according to the cross-sectional area and the height of the water cup and the difference between the initial angle and the end angle of drinking water;
s25, when the user fills the cup with water again, the steps S21-S24 are repeated.
Further, in step S23, the method for judging whether the tilting motion of the cup is a drinking motion is a combination of the following motion steps:
the cup is quickly inclined;
the tilting speed is continuously slowed down;
the inclination angle is gradually increased;
the cup is quickly restored to the vertical state.
Further, S2 includes step 26 of optimizing the measurement of water intake, including:
s260, modeling is carried out according to the parameters of the collected user action data;
s261, training and optimizing the collected user action data based on the neural network;
s262, forming a personalized drinking water mode of the user according to the cup holding habit, the drinking water speed of the user and the learning result obtained by the training of the neural network;
s263: based on the personalized drinking mode of the user, the historical data of the user is processed, the drinking water volume record of the user is corrected, and the drinking water volume measuring method is updated.
Further, step S1: the conditions for setting the drinking prompt include: setting the daily drinking water amount according to the age of a user, wherein:
the age is 2-3 years, and the set water intake is 600-;
the age is 4-5 years, and the set water intake is 700-800 ml;
the age is 5-7 years old, and the set water intake is 800 ml;
the age is 7-10 years old, and the set water intake is 1000 ml.
Further, step S1: the condition of setting up the suggestion of drinking water still includes the dietary habit that combines the user, revises the water intake of setting for every day: the method comprises the following steps of grading the water intake amount in the diet of a user, and adjusting the water intake target standard according to the grade, wherein the specific grade is as follows:
the water intake target standard is set to be 60 percent of the water intake;
the water intake target standard is set to be 55% of the water intake;
normally, setting a water intake target reference as 50% of the water intake;
setting the target reference of the water intake to be 45% of the water intake when the water intake is higher;
very high, a target drinking water level of 40% of the drinking water level is set.
Further, step S1: the condition for setting the drinking prompt comprises setting drinking frequency and time, specifically one or more combinations of the following settings:
setting the getting-up time and water supplementing reminding within the preset time after getting-up;
setting a main activity time period and reminding of timely water replenishing;
setting sleep time and reducing water intake in the period before sleep.
Further, S3, when the drinking prompt condition is met, sending the drinking prompt information further comprises: and if the water drinking of the user is not detected, suspending the related functions of the equipment.
The invention also provides a water cup, which comprises a collecting unit, an analyzing unit and a prompting unit, wherein:
the acquisition unit is used for setting drinking prompt conditions and acquiring drinking information of a user;
the analysis unit is used for combining the historical data of the user and analyzing and correcting the water intake algorithm parameters;
the prompting unit is used for sending drinking prompting information when the drinking prompting conditions are met.
The invention further provides intelligent equipment, wherein the intelligent equipment is integrated with the water cup, and the water cup is the water cup.
In practical applications, the modules in the method and system disclosed by the invention can be deployed on one target server, or each module can be deployed on different target servers independently, and particularly, the modules can be deployed on cluster target servers according to needs in order to provide stronger computing processing capacity.
Therefore, according to the technical scheme, the accelerometer is used for collecting actions in the whole drinking process, and behavior habits of the user are analyzed and learned in combination with cloud big data and artificial intelligence, so that the individual daily drinking water amount is accurately measured and continuously corrected based on the action mode of the user, the intelligent equipment is used for reminding the child of developing a good drinking habit, and the enlightening education of the child is promoted while the healthy growth of the child is helped.
In order that the invention may be more clearly and fully understood, specific embodiments thereof are described in detail below with reference to the accompanying drawings.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can also be derived from them without inventive effort.
FIG. 1 is a schematic flow chart illustrating a drinking water prompting method according to an embodiment of the present application;
FIGS. 2-5 are schematic views of various states of a cup according to an embodiment of the present disclosure.
Detailed Description
In order to solve the technical problems in the prior art, the method and the system utilize the accelerometer to collect the action of the whole drinking process, and analyze and learn the behavior habits of the user by combining cloud big data and artificial intelligence, so that the individual daily drinking water amount is accurately measured and continuously corrected based on the action mode of the user.
Specifically, the application provides a drinking water prompting method, which comprises the following steps:
s1: setting drinking prompting conditions;
s2, calculating the water drinking amount and the water drinking frequency of the user;
and S3, sending drinking prompt information when the drinking prompt conditions are met.
The technical solution of the present application will be described below with reference to various preferred embodiments.
S1, setting drinking prompting conditions;
when the intelligent water cup is manufactured, a water intake detection module is placed at a specific position on the water cup, wherein the water intake detection module comprises an accelerometer which is used for continuously collecting user action data; or a water intake detection module is embedded in an additional device such as a cup sleeve and a cup stand so as to be attached to a common cup, and the motion data of the user can be continuously acquired through an accelerometer.
In the embodiment of the application, the condition for setting the drinking prompt can be placed on the intelligent equipment. For children, the intelligent device is the equipment that children often used, be fit for integrating the technical scheme of this application on the intelligent device, when utilizing intelligent device to learn knowledge such as children's story, children's song, english, on the basis of the dietary guideline of country, use children like the psychological characteristic of recreation as the drive, cultivate children with lively, interesting mode and foster scientific, healthy drinking water habit, guarantee children reasonable water intake one day, the healthy growth of help children has promoted the education of enlightening to children again simultaneously.
The intelligent water cup is integrated on the intelligent equipment, and some water cups with bright colors and lovely cartoon images can be selected to attract the attention of children and carry out operation. The intelligent equipment can provide basic functions such as display, sound production, key pressing, touch operation and the like, and can also provide functions of telling stories, playing children songs, reading English, learning words by looking at pictures, playing games and entertainment and the like for preschool education according to needs;
the conditions for setting the drinking prompt in the embodiment of the application comprise drinking time, prompting method, drinking water amount target, drinking water frequency and the like.
The specific water intake is set as the water intake target of the children. Reference may be made to the following: taking children under 10 years old as an example, according to the suggestions of the dietary guidelines of Chinese residents, the dietary guidelines of Chinese preschool children balanced diet pagoda, the dietary guidelines of Chinese school children and the like, the reference value of the daily water intake is as follows:
2-3 years old, water intake 600-700 ml
4-5 years old, water intake of 700-
5-7 years old, water intake 800 ml
7-10 years old, water intake 1000 ml
In addition, since about half of the water intake of a person comes from food, etc., the actual drinking water target should be based on the family eating habits, whether other water-rich vegetable and fruit food and beverage are often eaten, and the above suggested intake reference value is modified between 40% and 60% to more approximate the real drinking water demand, for example, the water intake of the user's diet is graded, and the drinking water target standard is adjusted according to the grade, which is specifically:
the water intake target standard is set to be 60 percent of the water intake;
the water intake target standard is set to be 55% of the water intake;
normally, setting a water intake target reference as 50% of the water intake;
setting the target reference of the water intake to be 45% of the water intake when the water intake is higher;
very high, the water intake target is set at 40% of the water intake.
In addition, the activity rule of the child needs to be combined for setting, and one or a plurality of the activities can be selected or any combination of any options can be set as follows:
1. after getting up in the morning, properly supplementing water, and setting the getting up time in an equipment system;
2. water should be supplemented in time in a time period with large activity amount, a main activity time period of the children is set in an equipment system, and water is preferentially supplemented;
3. slightly less drinking water before sleeping, setting the sleeping time of the children in the system, and reducing the water intake in the period according to the setting;
4. and relatively uniformly drinking water in the rest time period, wherein the average time is 1 hour, and the daily drinking water amount target is distributed according to the strategy of the step.
As a preferred embodiment, the step S2 of calculating the drinking water amount and drinking water frequency of the user comprises the steps S20-S25:
s20, determining the direction of the water cup according to the static 3-axis data of the accelerometer, and pointing the direction closest to 9.8 to the gravity acceleration, namely the vertical direction of the water cup;
s21, continuously acquiring user action data by the accelerometer;
s22, calculating the axial moving mode of the water cup according to the collected continuous user action data;
s23, judging whether the tilting motion of the water cup is a drinking motion, if so, calculating the drinking water amount, and counting the drinking water amount into the statistical record of the drinking water amount of the user, wherein in the application, whether the posture of the water cup is changed and whether the posture of the water cup is drinking water is an important factor for determining whether the drinking water amount of the user is accurate, and as a preferred implementation mode, the judging method of the embodiment of the application is as follows:
referring to fig. 2 to 5, in a general drinking operation, as shown in fig. 2, the cup of the present embodiment is in an initial state, and a state of starting to drink water is schematically illustrated, as shown in fig. 3, when the cup is tilted at a high speed, the cup is started at a high acceleration and tilted to a drinking position at a high speed, and after the water surface contacts the lips, the tilting speed is reduced, and along with the drinking process, as shown in fig. 4, fig. 4 is a schematic diagram of the drinking process of the present embodiment, the cup is tilted at a stable low speed, the acceleration is close to 0, and the tilting angle is gradually increased. After the drinking of water is finished, the cup is started again at a large reverse acceleration and is restored to the initial vertical state at a high speed, as shown in fig. 5. The action of once drinking water is judged to this application, only has such a set of complete data of lasting action characteristic, just regards as a drinking water process, just counts in user's water intake statistical record.
In addition, as the amount of water in the cup decreases, the initial angle of the water level contacting the mouth in step S23 gradually increases, and the ending angle of the drinking water also increases.
S24, calculating the water intake: calculating the water intake of each time according to the cross-sectional area and the height of the water cup and the difference between the initial angle and the end angle of drinking water;
s25, when the user fills the cup with water again, the initial angle of drinking water is reduced to be close to the vertical state, and the steps S21-S24 are repeated.
Based on the steps S20-S25, the method further includes a step 26 of optimizing the measurement of the water consumption, storing historical data of the user in the cloud server, storing, learning and analyzing the collected user action data, and correcting the water consumption measurement algorithm, which specifically includes steps S260-S263:
s260, modeling according to the parameters for collecting the user action data, wherein the parameters needing to be collected are as follows:
rotation angle of water cup
v is the speed of the cup in the moving direction
a omega is the acceleration of the cup in the rotation direction
acceleration of av equal to the movement direction of the water cup
The detection module detects the action from the accelerometer for 30 seconds at the frequency of 50Hz, and 1500 (omega, v, a omega, av) groups of data can be collected and uploaded to the server;
modeling is carried out according to parameters such as angle, speed and acceleration of the water cup, and deep learning is carried out based on all historical data.
S261, training and optimizing the collected user action data based on the neural network;
in the embodiment of the application, since the analysis is performed in combination with the historical data of the user, the modeling analysis is performed on the collected data based on the multi-layer LSTM (long short term memory) with a memory function, the neural network is optimized by Dropout (discarding process) with a ratio of 0.5, the overfitting is prevented, and finally the Dense layer is output by Softmax, and the pseudo code for specifically establishing the neural network model is as follows:
the pseudo code for building the algorithm model is as follows:
s262, forming a personalized drinking water mode of the user according to the cup holding habit, the drinking water speed of the user and the learning result obtained by the training of the neural network;
due to the fact that the cup holding habits, the drinking speeds and the like of each person are different, specific drinking water modes for different users can be formed according to the result of deep learning on historical data;
the learning process can be completed by using the support of algorithm libraries such as tensorflow and the like. Assuming that the data set acquired in step S20 is D, the data acquired in the previous 30 times constitute one large data set D. The deep learning process is completed by calling a generator function of the model, and the pseudo code is as follows:
fit _ generator (D, batch _ size, epoch ═ 1, shuffle ═ True) and save the learning result by the following steps:
model.save_weights('water_record.h5')
s263: based on the personalized drinking mode of the user, the historical data of the user is processed, the drinking water volume record of the user is corrected, and the drinking water volume measuring method is updated.
And processing the historical data of the user based on the specific drinking water mode of the user generated by the server side, and correcting the drinking water volume record of the user. The algorithm pseudo code is as follows:
load _ weights ('water _ record.h5')// load learning result
predictions＝model.predict(d,batch_size＝config.batch_size)
// calculating the water intake of the data
The method for updating the water intake comprises the following steps: after data models of drinking related information of users, such as cup holding speed, drinking speed, conventional drinking water amount and the like, are updated, subsequent action detection and drinking water amount calculation are corrected based on user action data acquired by updated measurement algorithm parameters and calculated drinking water amount.
S3, when the drinking prompt condition is met, the drinking prompt information is sent out
For example, according to the setting of parents, sound and light reminding such as 'drinking water time is up, i want to drink water' is sent out at regular time, and children are reminded to drink water in time; the reminding of drinking water again can be set after the drinking water amount reaches a certain value and the time.
Based on the above embodiment, this application still provides a drinking cup, the drinking cup includes acquisition unit, analysis unit and tip unit, wherein:
the acquisition unit is used for setting drinking prompt conditions and acquiring drinking information of a user;
the analysis unit is used for combining the historical data of the user and analyzing and correcting the water intake algorithm parameters; the prompting unit is used for sending drinking prompting information when the drinking prompting conditions are met.
Based on the above embodiment, the application further provides an intelligent device, the intelligent device is integrated with a water cup, and the water cup is the water cup of the above embodiment. May cooperate in conjunction with other functions of the smart device, such as:
if the intelligent equipment does not detect that the children drink water, the entertainment functions of other equipment are suspended, health-related contents such as drinking and eating are played for a preset time, and preliminary health-related education is performed on the children;
if the intelligent equipment detects that children have carried out appropriate amount of drinking water, accord with preset standard, raise children to convert the water intake target of accomplishing into the integral, can exchange for projects such as virtual commodity, avatar in the system platform, encourage among the amusement project on the equipment, forward promotion children drinking water custom. In addition, can also transmit the children's that the statistics obtained drinking times, water intake for the head of a family's cell-phone through the network, make the head of a family can in time learn child's drinking water condition to and whether need supply water to the cup.
The embodiment of the present application further provides a computer-readable storage medium, in which instructions or a program are stored, and the instructions or the program are loaded by a processor and execute any of the drinking water measuring methods described above.
An embodiment of the present application further provides an electronic device, including: a processor, a storage medium and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, when the electronic device runs, the processor and the storage medium communicate with each other through the bus, and the processor executes the machine-readable instructions to execute the drinking water measuring method.
It should be noted that, all or part of the steps in the methods of the above embodiments may be implemented by hardware related to instructions of a computer program, which may be stored in a computer-readable storage medium, which may include, but is not limited to: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A drinking water prompting method is characterized by comprising the following steps:
s1: setting drinking prompting conditions;
s2, calculating the water drinking amount and the water drinking frequency of the user;
and S3, sending drinking prompt information when the drinking prompt conditions are met.
2. The drinking water prompting method of claim 1, wherein in step S2, calculating the drinking water amount of the user comprises:
s20, determining the direction of the water cup according to the static 3-axis data of the accelerometer;
s21, continuously acquiring user action data by the accelerometer;
s22, calculating the axial moving mode of the water cup according to the collected continuous user action data;
s23, judging whether the tilting motion of the cup is a drinking motion, if so, calculating the drinking water amount and counting the drinking water amount into the statistical record of the drinking water amount of the user;
s24, calculating the water intake: calculating the water intake of each time according to the cross-sectional area and the height of the water cup and the difference between the initial angle and the end angle of drinking water;
s25, when the user fills the cup with water again, the steps S21-S24 are repeated.
3. The drinking water prompting method of claim 1, wherein the step S23 of judging whether the tilting motion of the cup is the drinking water motion comprises the following steps:
the cup is quickly inclined;
the tilting speed is continuously slowed down;
the inclination angle is gradually increased;
the cup is quickly restored to the vertical state.
4. The drinking water prompting method of claim 1 or 2, wherein S2 further comprises the step of optimizing the measurement of water intake, comprising:
s260, modeling is carried out according to the parameters of the collected user action data;
s261, training and optimizing the collected user action data based on the neural network;
s262, forming a personalized drinking water mode of the user according to the cup holding habit, the drinking water speed of the user and the learning result obtained by the training of the neural network;
s263: based on the personalized drinking mode of the user, the historical data of the user is processed, the drinking water volume record of the user is corrected, and the drinking water volume measuring method is updated.
5. The drinking water prompting method as claimed in claim 1, wherein the step S1: the conditions for setting the drinking prompt include: setting the daily drinking water amount according to the age of a user, wherein:
the age is 2-3 years, and the set water intake is 600-700 ml;
the age is 4-5 years, and the set water intake is 700-800 ml;
the age is 5-7 years old, and the set water intake is 800 ml;
the age is 7-10 years old, and the set water intake is 1000 ml.
6. The drinking water prompting method as claimed in claim 5, wherein the step S1: the condition of setting up the suggestion of drinking water still includes the dietary habit that combines the user, revises the water intake of setting for every day: the method comprises the following steps of grading the water intake amount in the diet of a user, and adjusting the water intake target standard according to the grade, wherein the specific grade is as follows:
the water intake target standard is set to be 60 percent of the water intake;
the water intake target benchmark is set to be 55 percent of the water intake;
normally, setting a water intake target reference as 50% of the water intake;
setting the target reference of the water intake to be 45% of the water intake when the water intake is higher;
very high, a target drinking water level of 40% of the drinking water level is set.
7. The drinking water prompting method as claimed in claim 1, wherein the step S1: the condition for setting the drinking prompt comprises setting drinking frequency and time, specifically one or more combinations of the following settings:
setting the getting-up time and water supplementing reminding within the preset time after getting-up;
setting a main activity time period and reminding of water supplement in time;
setting sleep time and reducing water intake in the period before sleep.
8. The drinking water prompting method of claim 1, wherein S3, when the drinking water prompting condition is met, the sending the drinking water prompting message further comprises: and if the water drinking of the user is not detected, suspending the related functions of the equipment.
9. The utility model provides a water cup, characterized by, the water cup includes acquisition unit, analysis unit and suggestion unit, wherein:
the acquisition unit is used for setting drinking prompt conditions and acquiring drinking information of a user;
the analysis unit is used for combining the historical data of the user and analyzing and correcting the water intake algorithm parameters;
the prompting unit is used for sending drinking prompting information when the drinking prompting conditions are met.
10. An intelligent device integrated with a water cup, characterized in that the water cup is according to claim 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210726909.XA CN115005653A (en) | 2022-06-24 | 2022-06-24 | Drinking water prompting method, water cup and intelligent equipment |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140046596A1 (en) * | 2012-08-08 | 2014-02-13 | Taiwan Gomet Technology Co., Ltd | Drinking water reminding system and reminding method thereof |
| CN104570875A (en) * | 2015-01-12 | 2015-04-29 | 泉州装备制造研究所 | Daily drinking water management network system for crowds looked after |
| CN107048920A (en) * | 2017-03-23 | 2017-08-18 | 广东万事达智能科技有限公司 | Intelligent water cup capable of automatically measuring water intake and measuring method thereof |
| WO2017197628A1 (en) * | 2016-05-19 | 2017-11-23 | 深圳市柔宇科技有限公司 | Smart water cup and control method therefor |
| CN112741467A (en) * | 2020-12-31 | 2021-05-04 | 苏州爱吧网络科技有限公司 | Drinking water monitoring method for vacuum heat-preservation cup |
| CN113180445A (en) * | 2021-05-27 | 2021-07-30 | 南京信息职业技术学院 | Drinking water management method and intelligent water cup saucer |
| CN114145613A (en) * | 2021-08-31 | 2022-03-08 | 佛山市顺德区美的饮水机制造有限公司 | Drinking water prompting method and device and water cup |
-
2022
- 2022-06-24 CN CN202210726909.XA patent/CN115005653A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140046596A1 (en) * | 2012-08-08 | 2014-02-13 | Taiwan Gomet Technology Co., Ltd | Drinking water reminding system and reminding method thereof |
| CN104570875A (en) * | 2015-01-12 | 2015-04-29 | 泉州装备制造研究所 | Daily drinking water management network system for crowds looked after |
| WO2017197628A1 (en) * | 2016-05-19 | 2017-11-23 | 深圳市柔宇科技有限公司 | Smart water cup and control method therefor |
| CN107048920A (en) * | 2017-03-23 | 2017-08-18 | 广东万事达智能科技有限公司 | Intelligent water cup capable of automatically measuring water intake and measuring method thereof |
| CN112741467A (en) * | 2020-12-31 | 2021-05-04 | 苏州爱吧网络科技有限公司 | Drinking water monitoring method for vacuum heat-preservation cup |
| CN113180445A (en) * | 2021-05-27 | 2021-07-30 | 南京信息职业技术学院 | Drinking water management method and intelligent water cup saucer |
| CN114145613A (en) * | 2021-08-31 | 2022-03-08 | 佛山市顺德区美的饮水机制造有限公司 | Drinking water prompting method and device and water cup |
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